Google Pixel 9 Pro
Geekbench AI Score
1124
Single Precision Score
1724
Half Precision Score
1285
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | sugooooi |
| Upload Date | November 07 2025 05:03 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor G4 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 9 Pro |
| Model ID | Google Pixel 9 Pro |
| Motherboard | caiman |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 1.95 GHz |
| Cluster 1 | 4 Cores @ 1.95 GHz |
| Cluster 2 | 3 Cores @ 2.60 GHz |
| Cluster 3 | 1 Core @ 3.10 GHz |
| Memory Information | |
|---|---|
| Size | 15.19 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
681
126.6 IPS |
|
|
Image Classification (HP)
|
100% |
661
123.0 IPS |
|
|
Image Classification (Q)
|
97% |
453
84.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1491
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2320
37.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2111
34.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5297
6.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
13217
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12577
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
608
48.2 IPS |
|
|
Object Detection (HP)
|
99% |
1079
85.6 IPS |
|
|
Object Detection (Q)
|
83% |
1028
83.0 IPS |
|
|
Face Detection (SP)
|
100% |
2683
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
3407
40.5 IPS |
|
|
Face Detection (Q)
|
96% |
2869
34.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3709
28.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
6288
48.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
5002
47.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8131
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
21282
27.4 IPS |
|
|
Style Transfer (Q)
|
98% |
20137
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1937
71.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2481
91.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2306
85.5 IPS |
|
|
Text Classification (SP)
|
35% |
20
185.3 IPS |
|
|
Text Classification (HP)
|
35% |
29
264.1 IPS |
|
|
Text Classification (Q)
|
32% |
20
254.5 IPS |
|
|
Machine Translation (SP)
|
100% |
315
5.43 IPS |
|
|
Machine Translation (HP)
|
100% |
325
5.59 IPS |
|
|
Machine Translation (Q)
|
43% |
75
4.35 IPS |
